Automated Author ProfileMilićev, Tanja
Milićev, Tanja
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.1 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data contains acceptability ratings of Serbian sentences containing two types of clausal complements: infinitives and so-called "da+present" constructions (DPCs) combined with subjects with various degrees of concreteness (most concrete - proper names, intermediate - plural common nouns, most abstract - abstract nouns). The data was collected to test the hypothesis that more concrete subjects are rated better when combined with the more concrete type of clausal complement - DPC, and more abstract subjects are rated more favorably with the more abstract type of clausal complement - infinitive. The data also contains basic demographic information where any possibility of discovering the personal idenitities of participants is blocked.
Authors
- Kovačević, Predrag ;
- Arsenijević, Boban ;
- Milićev, Tanja
The data contains acceptability ratings of Serbian sentences containing two types of clausal complements: infinitives and so-called "da+present" constructions (DPCs) combined with subjects with various degrees of concreteness (most concrete - proper names, intermediate - plural common nouns, most abstract - abstract nouns). The data was collected to test the hypothesis that more concrete subjects are rated better when combined with the more concrete type of clausal complement - DPC, and more abstract subjects are rated more favorably with the more abstract type of clausal complement - infinitive. The data also contains basic demographic information where any possibility of discovering the personal idenitities of participants is blocked.
Authors
- Kovačević, Predrag ;
- Arsenijević, Boban ;
- Milićev, Tanja
The data contains acceptability ratings of Serbian sentences containing two types of clausal complements: infinitives and so-called "da+present" constructions (DPCs) combined with subjects with various degrees of concreteness (most concrete - proper names, intermediate - plural common nouns, most abstract - abstract nouns). The data was collected to test the hypothesis that more concrete subjects are rated better when combined with the more concrete type of clausal complement - DPC, and more abstract subjects are rated more favorably with the more abstract type of clausal complement - infinitive. The data also contains basic demographic information where any possibility of discovering the personal idenitities of participants is blocked.
Authors
- Kovačević, Predrag ;
- Arsenijević, Boban ;
- Milićev, Tanja